Guillaume Jacot

1.0k total citations
9 papers, 450 citations indexed

About

Guillaume Jacot is a scholar working on Molecular Biology, Surgery and Physiology. According to data from OpenAlex, Guillaume Jacot has authored 9 papers receiving a total of 450 indexed citations (citations by other indexed papers that have themselves been cited), including 8 papers in Molecular Biology, 4 papers in Surgery and 3 papers in Physiology. Recurrent topics in Guillaume Jacot's work include Muscle Physiology and Disorders (5 papers), Pancreatic function and diabetes (3 papers) and Metabolism, Diabetes, and Cancer (2 papers). Guillaume Jacot is often cited by papers focused on Muscle Physiology and Disorders (5 papers), Pancreatic function and diabetes (3 papers) and Metabolism, Diabetes, and Cancer (2 papers). Guillaume Jacot collaborates with scholars based in Switzerland, France and Canada. Guillaume Jacot's co-authors include Jérôme N. Feige, Sonia Karaz, Eugenia Migliavacca, Sylviane Métairon, Patrick Descombes, Frédéric Raymond, Alessio Palini, Federico Sizzano, Sara Ancel and Pascal Stuelsatz and has published in prestigious journals such as International Journal of Molecular Sciences, Cell stem cell and Nutrients.

In The Last Decade

Guillaume Jacot

9 papers receiving 445 citations

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name	h						Papers	Cites
Guillaume Jacot Switzerland	8	337	187	108	79	44	9	450
Uxía Gurriarán‐Rodríguez Spain	11	349 1.0×	226 1.2×	104 1.0×	81 1.0×	32 0.7×	14	510
Alessio Torcinaro Italy	9	334 1.0×	130 0.7×	61 0.6×	72 0.9×	24 0.5×	12	516
Erin Plummer New Zealand	4	458 1.4×	234 1.3×	43 0.4×	50 0.6×	39 0.9×	6	540
Kristy Swiderski Australia	14	418 1.2×	178 1.0×	58 0.5×	41 0.5×	45 1.0×	30	535
Gwénaëlle Begue United States	9	347 1.0×	207 1.1×	41 0.4×	45 0.6×	71 1.6×	16	543
Stine Juhl Petersson Denmark	10	383 1.1×	278 1.5×	47 0.4×	33 0.4×	39 0.9×	12	606
Anna Cozzoli Italy	15	604 1.8×	234 1.3×	58 0.5×	50 0.6×	65 1.5×	20	693
Kai Zou United States	18	410 1.2×	341 1.8×	124 1.1×	91 1.2×	29 0.7×	46	716
Zhao Bo Li United States	6	291 0.9×	85 0.5×	85 0.8×	60 0.8×	34 0.8×	7	405
Akira Wagatsuma Japan	13	352 1.0×	172 0.9×	54 0.5×	29 0.4×	28 0.6×	20	540

Countries citing papers authored by Guillaume Jacot

Since Specialization

Citations

This map shows the geographic impact of Guillaume Jacot's research. It shows the number of citations coming from papers published by authors working in each country. You can also color the map by specialization and compare the number of citations received by Guillaume Jacot with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Guillaume Jacot more than expected).

Fields of papers citing papers by Guillaume Jacot

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Guillaume Jacot. Nodes represent research fields, and links connect fields that are likely to share authors. Colored nodes show fields that tend to cite the papers produced by Guillaume Jacot. The network helps show where Guillaume Jacot may publish in the future.

Co-authorship network of co-authors of Guillaume Jacot

This figure shows the co-authorship network connecting the top 25 collaborators of Guillaume Jacot. A scholar is included among the top collaborators of Guillaume Jacot based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Guillaume Jacot. Guillaume Jacot is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

Sort: Min cites: Since: Top N: Style:

9 of 9 papers shown

Ancel, Sara, Joris Michaud, Federico Sizzano, et al.. (2024). A dual-color PAX7 and MYF5 in vivo reporter to investigate muscle stem cell heterogeneity in regeneration and aging. Stem Cell Reports. 19(7). 1024–1040. 7 indexed citations

Sonntag, Tanja, Sara Ancel, Sonia Karaz, et al.. (2022). Nicotinamide riboside kinases regulate skeletal muscle fiber-type specification and are rate-limiting for metabolic adaptations during regeneration. Frontiers in Cell and Developmental Biology. 10. 1049653–1049653. 11 indexed citations

Ratajczak, Joanna, Magali Joffraud, José Luis Sánchez, et al.. (2022). Nicotinamide riboside kinase 1 protects against diet and age-induced pancreatic β-cell failure. Molecular Metabolism. 66. 101605–101605. 5 indexed citations

Ferrier, Laurent, Hélène Eutamène, Léa Siegwald, et al.. (2021). Human milk oligosaccharides alleviate stress-induced visceral hypersensitivity and associated microbiota dysbiosis. The Journal of Nutritional Biochemistry. 99. 108865–108865. 12 indexed citations

Hermant, Aurélie, Christian Chabert, Guillaume Jacot, et al.. (2020). Targeting Mitochondrial Calcium Uptake with the Natural Flavonol Kaempferol, to Promote Metabolism/Secretion Coupling in Pancreatic β-cells. Nutrients. 12(2). 538–538. 31 indexed citations

Karaz, Sonia, Pascal Stuelsatz, Uxía Gurriarán‐Rodríguez, et al.. (2019). Aging Disrupts Muscle Stem Cell Function by Impairing Matricellular WISP1 Secretion from Fibro-Adipogenic Progenitors. Cell stem cell. 24(3). 433–446.e7. 225 indexed citations

Haller, Corinne, Julie Piccand, Filippo De Franceschi, et al.. (2019). Macroencapsulated Human iPSC-Derived Pancreatic Progenitors Protect against STZ-Induced Hyperglycemia in Mice. Stem Cell Reports. 12(4). 787–800. 33 indexed citations

Karaz, Sonia, Carine Winkler, Federico Sizzano, et al.. (2018). PPARγ Controls Ectopic Adipogenesis and Cross-Talks with Myogenesis During Skeletal Muscle Regeneration. International Journal of Molecular Sciences. 19(7). 2044–2044. 39 indexed citations

Pannérec, Alice, Margherita Springer, Eugenia Migliavacca, et al.. (2016). A robust neuromuscular system protects rat and human skeletal muscle from sarcopenia. Aging. 8(4). 712–728. 87 indexed citations

Rankless uses publication and citation data sourced from OpenAlex, an open and comprehensive bibliographic database. While OpenAlex provides broad and valuable coverage of the global research landscape, it—like all bibliographic datasets—has inherent limitations. These include incomplete records, variations in author disambiguation, differences in journal indexing, and delays in data updates. As a result, some metrics and network relationships displayed in Rankless may not fully capture the entirety of a scholar's output or impact.

Explore authors with similar magnitude of impact